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1904.03323
Cited By
Publicly Available Clinical BERT Embeddings
6 April 2019
Emily Alsentzer
John R. Murphy
Willie Boag
W. Weng
Di Jin
Tristan Naumann
Matthew B. A. McDermott
AI4MH
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Papers citing
"Publicly Available Clinical BERT Embeddings"
50 / 806 papers shown
Title
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Yang Zhang
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Multi-Stage Pre-training for Low-Resource Domain Adaptation
Rong Zhang
Revanth Reddy Gangi Reddy
Md Arafat Sultan
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Anthony Ferritto
Radu Florian
Efsun Sarioglu Kayi
Salim Roukos
Avirup Sil
T. Ward
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Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures
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Nishant R. Shah
Carsten Eickhoff
George Zerveas
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Shuang Zhou
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10
0
11 Oct 2020
Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder
John N. Pougue Biyong
Bo Wang
Terry Lyons
A. Nevado-Holgado
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21
4
0
10 Oct 2020
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
Yun He
Ziwei Zhu
Yin Zhang
Qin Chen
James Caverlee
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33
108
0
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Shantanu Karnwal
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Chenhao Tan
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0
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Fangyu Liu
Ehsan Shareghi
Nigel Collier
16
86
0
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Ion Androutsopoulos
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6
255
0
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Shikhar Vashishth
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Carolyn Rose
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19
2
0
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Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models
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Dinh Q. Phung
Gholamreza Haffari
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Manos Fergadiotis
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Prodromos Malakasiotis
Nikolaos Aletras
Ion Androutsopoulos
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84
0
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Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit
Z. Kraljevic
Thomas Searle
Anthony Shek
Lukasz Roguski
Kawsar Noor
...
A. Shah
W. K. Wong
Zina M. Ibrahim
J. Teo
Richard J. B. Dobson
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0
02 Oct 2020
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media
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Sarvnaz Karimi
Ben Hachey
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35
0
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Contrastive Learning of Medical Visual Representations from Paired Images and Text
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Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
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61
731
0
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An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training
Kristjan Arumae
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Parminder Bhatia
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14
0
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Lucy H. Lin
Noah A. Smith
19
15
0
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Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells
Griffin Adams
Mert Ketenci
Shreyas Bhave
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12
0
0
29 Sep 2020
What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
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Eileen Pan
Nassim Oufattole
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ELM
LM&MA
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706
0
28 Sep 2020
Unsupervised Pre-training for Biomedical Question Answering
Vaishnavi Kommaraju
K. Gunasekaran
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16
18
0
27 Sep 2020
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training
Hai Ye
Qingyu Tan
Ruidan He
Juntao Li
Hwee Tou Ng
Lidong Bing
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0
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AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation
Huishuang Tian
Kexin Yang
Dayiheng Liu
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33
31
0
24 Sep 2020
Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text
Yadan Fan
Sicheng Zhou
Yifan Li
Rui Zhang
18
18
0
16 Sep 2020
Patient Cohort Retrieval using Transformer Language Models
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Kirk Roberts
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9
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10 Sep 2020
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Zhihao Yang
Lei Wang
Yin Zhang
Hongfei Lin
Jian Wang
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0
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A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports
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Yuan Luo
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03 Sep 2020
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01 Sep 2020
Intimate Partner Violence and Injury Prediction From Radiology Reports
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21
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Ion Androutsopoulos
16
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0
27 Aug 2020
Prediction of ICD Codes with Clinical BERT Embeddings and Text Augmentation with Label Balancing using MIMIC-III
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Adapting Event Extractors to Medical Data: Bridging the Covariate Shift
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Ontology-driven weak supervision for clinical entity classification in electronic health records
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Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention
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Transferability of Natural Language Inference to Biomedical Question Answering
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CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output
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Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings
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